Aditya Sanghi

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Aditya Sanghi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Diederik P. Kingma
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Sergey Ioffe
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Christian Szegedy
  8. Dekang Lin
  9. Jimmy Ba
  10. Yann LeCun

Who trusts Aditya Sanghi overall

  1. Ajay Jain
  2. Ben Poole
  3. Alex Nichol
  4. Zilong Chen
  5. Minghua Liu
  6. Nasir Mohammad Khalid
  7. Yoad Tewel
  8. Lukas Höllein
  9. Gal Metzer
  10. Heewoo Jun

Papers from Aditya Sanghi's perspective

Ordered by how strongly the researchers Aditya Sanghi trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers